For the video object tracking, MIM models also show a stronger transfer ability over supervised pre-trained models. On the long-term dataset LaSOT, SwinTrack [1]} with MIM pre-trained SwinV2-B backbone achieves comparable result with the SOTA MixFormer-L [2]} with a larger image size \(320\times 320\) . We obtain the best SUC of \(70.7\)  on the LaSOT with SwinV2-L backbone with the input image size \(224\times 224\)  and template size \(112\times 112\) .
